An Implementation of Tunable Fuzzy Filters for Mixed Noise Reduction
Summary :
This paper presents a new implementation of fuzzy filters for edge-preserving smoothing of an image corrupted by impulsive and white Gaussian noise. This filter structure is expressed as an adaptive weighted mean filter that uses fuzzy control. The parameters of this filter can be adjusted by learning. Finally, simulation results demonstrate the effectiveness of the proposed technique.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.2 pp.482-484
- Publication Date
- 2001/02/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section LETTER (Special Section on Noise Cancellation and Reduction Techniques)
- Category
- Noise Reduction for Image Signal
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Keyword
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Mitsuji MUNEYASU, Kouichiro ASOU, Yuji WADA, Akira TAGUCHI, Takao HINAMOTO, "An Implementation of Tunable Fuzzy Filters for Mixed Noise Reduction" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 2, pp. 482-484, February 2001, doi: .
Abstract: This paper presents a new implementation of fuzzy filters for edge-preserving smoothing of an image corrupted by impulsive and white Gaussian noise. This filter structure is expressed as an adaptive weighted mean filter that uses fuzzy control. The parameters of this filter can be adjusted by learning. Finally, simulation results demonstrate the effectiveness of the proposed technique.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_2_482/_p
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@ARTICLE{e84-a_2_482,
author={Mitsuji MUNEYASU, Kouichiro ASOU, Yuji WADA, Akira TAGUCHI, Takao HINAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Implementation of Tunable Fuzzy Filters for Mixed Noise Reduction},
year={2001},
volume={E84-A},
number={2},
pages={482-484},
abstract={This paper presents a new implementation of fuzzy filters for edge-preserving smoothing of an image corrupted by impulsive and white Gaussian noise. This filter structure is expressed as an adaptive weighted mean filter that uses fuzzy control. The parameters of this filter can be adjusted by learning. Finally, simulation results demonstrate the effectiveness of the proposed technique.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - An Implementation of Tunable Fuzzy Filters for Mixed Noise Reduction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 482
EP - 484
AU - Mitsuji MUNEYASU
AU - Kouichiro ASOU
AU - Yuji WADA
AU - Akira TAGUCHI
AU - Takao HINAMOTO
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2001
AB - This paper presents a new implementation of fuzzy filters for edge-preserving smoothing of an image corrupted by impulsive and white Gaussian noise. This filter structure is expressed as an adaptive weighted mean filter that uses fuzzy control. The parameters of this filter can be adjusted by learning. Finally, simulation results demonstrate the effectiveness of the proposed technique.
ER -
English
